Intelligent Data Engineering And Automated Learning Ideal 2016 17th International Conference Yangzhou China October 1214 2016 Proceedings 1st Edition Hujun Yin by Hujun Yin, Yang Gao, Bin Li, Daoqiang Zhang, Ming Yang, Yun Li, Frank Klawonn, Antonio J. Tallón-ballesteros (eds.) 9783319462561, 9783319462578, 3319462563, 3319462571 instant download after payment.

The core of the IDEAL conference has been evolving from mining, analyzing, and exploring to interpreting and making sense of seas of data this is particularly meaningful in this big-data and deep-learning era.
The 68 full papers presented were carefully reviewed and selected from 115 submissions. They provide a valuable and timely sample of latest research outcomes in data engineering and automated learning ranging from methodologies, frameworks, and techniques to applications including various topics such as evolutionary algorithms deep learning neural networks probabilistic modeling particle swarm intelligence big data analysis applications in regression, classification, clustering, medical and biological modeling and predication text processing and image analysis.